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Record W2001773695 · doi:10.1159/000203889

A SPECT Study of Sleep Disturbance and Alzheimer’s Disease

2009· article· en· W2001773695 on OpenAlexafffund
Zahinoor Ismail, Nathan Herrmann, P.L. Francis, Lana S. Rothenburg, Nancy J. Lobaugh, Farrell S. Leibovitch, Sandra E. Black, Krista L. Lanctôt

Bibliographic record

VenueDementia and Geriatric Cognitive Disorders · 2009
Typearticle
Languageen
FieldPsychology
TopicSleep and related disorders
Canadian institutionsUniversity of TorontoHealth Sciences CentreSunnybrook Health Science CentreCentre for Addiction and Mental Health
FundersCanadian Institutes of Health ResearchUniversity College LondonSunnybrook Foundation
KeywordsDementiaAlzheimer's diseaseSleep disorderDegenerative diseaseSleep (system call)NeurosciencePsychologyDisturbance (geology)DiseaseCentral nervous system diseaseAudiologyMedicineCognitionInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND/AIMS: This study aimed to investigate the possible association of regional cerebral perfusion and sleep loss in Alzheimer's disease (AD). METHODS: 55 AD patients were characterized as having (SL) or not having (NSL) nocturnal sleep loss based on standard AD scales assessing sleep over the previous 4 weeks. (99m)Tc-ethylcysteinate dimer SPECT scans were performed in a relaxed, wakeful state. Whole-brain analysis using Statistical Parametrical Mapping (SPM5) was performed to compare perfusion across groups. In addition, the AD groups were compared to normal control (NC) subjects of comparable age and gender to provide a context for interpretation of findings. RESULTS: SPM analysis showed increased perfusion in the right middle frontal gyrus (R-MFG, Brodman area 9, p = 0.016, familywise-error-corrected) in SL versus NSL patients. Comparison with NC subjects confirmed that perfusion in the R-MFG among SL patients did not exceed that found in NCs (relative rather than absolute hyperperfusion). CONCLUSIONS: In this sample of mild-to-moderate AD patients, relative hyperperfusion in the R-MFG is associated with reports of SL. This region may play a role in regulating sleep.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.385
Threshold uncertainty score0.834

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.010
GPT teacher head0.274
Teacher spread0.265 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations23
Published2009
Admission routes2
Has abstractyes

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